Senior Technical Architect

Snowflake; United States; Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Comprehensive health insurance plans

Health savings accounts

Robust retirement plans

Life and disability insurance

Quarterly bonus or commission program

Job summary

Snowflake is seeking a Senior Technical Architect for its Services Delivery team to own technical delivery and outcomes for complex, high-priority engagements across the customer journey.

You will lead architecture decisions, define platform strategy, and translate business problems into scalable Snowflake-based solutions, including end-to-end AI/ML systems with MLOps. Collaboration with executives, delivery teams, and Snowflake product groups is essential.

Qualifications

• 8+ years of experience in solutions architecture, technical consulting, data engineering, or senior customer-facing technical roles.
• Proven track record leading architecture decisions on large-scale enterprise data and AI platforms.
• Experience implementing Snowflake in production environments (data modeling, performance tuning, security, governance).
• Ability to influence senior technical and executive stakeholders and navigate complex org dynamics.

Responsibilities

• Lead customer engagements as the primary technical authority, owning architecture decisions and driving outcomes across multi-workstream implementations.
• Define platform strategy, roadmaps, and align Snowflake capabilities to business objectives.
• Architect and implement end-to-end AI/ML solutions on Snowflake with scalable, secure, operable designs.
• Mentor junior architects and consultants; contribute to reusable architecture patterns and delivery accelerators.

Skills

Leadership

Architectural decisions

Delivery leadership

MLOps

SQL

Python

Stakeholder influence

Hands-on delivery

Education

B.S. in Computer Science, Engineering, Mathematics, or related field

SnowPro Advanced Certification

Tools

Snowflake

SQL

Python

Cortex

Streamlit in Snowflake

Snowflake Intelligence

Job description

We are hiring a Senior Technical Architect for our Services Delivery team

Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy

In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation

Customer Leadership and Advisory:

Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations

Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives

Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies

Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues

Technical Architecture and Delivery:

Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer’s environment

Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management

Drive adoption of Snowflake’s AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands‑on delivery

Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams

Cross-Functional Influence:

Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction

Mentor and provide technical direction to junior architects and consultants within engagements

Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program

Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment monitoring, and ongoing governanceExperience designing and implementing MLOps frameworks and model lifecycle management at enterprise scaleDeep hands‑on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governanceBA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experienceExpert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layersDemonstrated track record leading architecture decisions on large-scale, enterprise data and AI platformsProficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical roleProven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamicsExperience building and scaling a Center of Excellence or establishing architectural standards across a large enterpriseHands‑on experience with generative AI and large language model (LLM) use cases in productionBackground in the services organization of a technology product companyAWS, Google Cloud, or Microsoft Azure Advanced certification(s)Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment)Snowflake SnowPro Advanced Certification(s)Experience as a technical lead on multi-team or multi-vendor delivery programs